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dc.creatorKoh, Wonryull
dc.date.accessioned2012-06-07T22:59:57Z
dc.date.available2012-06-07T22:59:57Z
dc.date.created2000
dc.date.issued2000
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2000-THESIS-K64
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 44-46).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractA finite element model of the cerebral cortex enables a structured visualization of its gross anatomy and provides access to the neuronal databases associated with each unite element of tissue. Partitioned by finite elements, the distributed, web-based microstructure database serves as a tool for organizing neurons and neuronal forests, and for modeling local cortical microstructure by wiring up the forests. Embedding the database in XML adds structure and web-accessibility to the inherent information. When integrated with the brain tissue scanner, the distributed, web-based microstructure database serves as a comprehensive infrastructure for organizing brain tissue at three different hierarchical levels: volume, neuronal morphology, and network.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectcomputer science.en
dc.subjectMajor computer science.en
dc.titleDistributed, web-based microstructure database for brain tissueen
dc.typeThesisen
thesis.degree.disciplinecomputer scienceen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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